51 to 75 of 172 GCP Jobs in Shrewsbury

FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/Tooling: Prometheus, Grafana, Sentry The role is remote with occasional travel Ready to lead and build with purpose? If More ❯

MongoDB . Solid experience with API integration (GraphQL, REST, OAuth). Familiarity with infrastructure tools like Docker or cloud platforms (e.g., AWS, Vercel, or GCP). Comfortable working in dynamic startup environments with shifting priorities. Demonstrated ability to take ownership of features from concept to release. Excellent problem-solving and More ❯

entire codebase – it’s Java and will stay that way Someone aiming to move the platform to AWS – the company is fully committed to GCP Candidates driven primarily by equity or valuation over purpose and delivery More ❯

in scripting languages (e.g., PowerShell, Python) for automation and customization. Excellent problem-solving and troubleshooting skills. Preferred: Experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with CyberArk. Knowledge of DevOps and CI/CD pipelines for secrets management. Familiarity with other PAM tools (e.g., BeyondTrust, Thycotic) is More ❯

stack. Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows. Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data … or proprietary trading firm environment. Crypto-native a plus Infrastructure & DevOps: Production experience with Kubernetes and cloud-native deployment strategies. Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations. Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack). Trading Systems & Finance: Solid understanding More ❯

Terraform/Ansible Kubernetes, Docker, or Podman CI/CD Python, Ruby or Go Desirable skills: IaC – Terraform, Helm, Ansible, Pulumi, Bicep AWS or GCP DR Block/Blob Storage HPC Please apply ASAP for more information. More ❯

interviews, and technical assessments to gather and prioritise requirements. Guide clients through decisions on public, private, hybrid, and multi-cloud environments (e.g., AWS, Azure, GCP). Design and oversee implementation of conceptual solutions in collaboration with technical experts. Create business cases, ROI models, and transformation plans to support client decision More ❯

end. Tech stack: Python (FastAPI, gRPC) React Postgres Temporal, Dagster (workflow/ETL) GitHub Copilot, Cursor Docker, CI/CD pipelines Azure, AWS, or GCP Benefits: Strong equity package 25 days holiday + bank holidays 7.5% matched pension Private healthcare (family + pre-existing conditions included) Access to gym and More ❯

where you can evolve your career. Ideal Background: Hands-on software engineering experience (Python, Go, JavaScript, Kotlin, etc.) Experience with scalable cloud infrastructure (AWS, GCP, Kubernetes, Docker) Exposure to AI or ML through side projects, coursework, or experimentation Excited about GenAI and keen to become a full-time AI-focused More ❯

Prometheus, Grafana, or similar tools. Experience with Nix is a plus (or curiosity to learn it). Bonus if you’ve worked with Azure, GCP, or have experience across cloud platforms. A bit about us: We’re building smart, modern financial tools and we’re doing it with a sharp More ❯

DevOps, Git, and branching/version control best practices Strong understanding of deployment processes within a software engineering context Experience with cloud providers (AWS, GCP, or Azure) An understanding of Kubernetes/Docker Important details: Salary up to £65,000 + 10% bonus (depending on experience - bonus depending on company More ❯

/CD tooling Strong scripting and automation experience in Python and Bash Familiarity with observability stacks (Prometheus, OpenTelemetry, eBPF) Cloud infrastructure experience (AWS/GCP/Azure), with attention to IAM and software supply chain security Curious, persistent, and comfortable experimenting at the lowest levels of the stack For more More ❯

Security certifications such as CompTIA Security+, SSCP, CEH, GSEC, or CISSP (or actively working toward one) Experience with cloud security in AWS, Azure, or GCP environments Knowledge of scripting or automation (e.g., Python, PowerShell) for security tasks Understanding of DevSecOps practices and secure SDLC Package: £50-55k basic salary More ❯

Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others More ❯

firm with strong ties to fintech. What You Bring: Experience in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and More ❯

will need Background in Scala Excellent communication skills. Willing to be in London office 4 days a week. Cloud experience in either AWS, Azure, GCP Strong database experience. Interest in sports – Nice to have! Find out more If you would like to have a confidential conversation and find out more More ❯

Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree in Computer Science, Data Science, or More ❯

understanding of data security, governance, and compliance requirements Experience building real-time, large-scale data pipelines Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using Infrastructure as Code tools Excellent communication and stakeholder management skills Detail-oriented with a strong focus on data accuracy More ❯

and ensure the delivered solution addresses the client’s needs. Leverage cloud and MLOps best practices: Guide teams in architecting and implementing solutions on GCP (and other cloud platforms as needed), utilizing services and tools (e.g. BigQuery, Vertex AI, Cloud Storage) to ensure scalability and reliability. Champion MLOps practices such … pipelines, and deployment workflows with technical experts. Cloud Expertise: Hands-on experience delivering projects on cloud platforms, such as Google Cloud Platform. Familiarity with GCP’s data and ML ecosystem (BigQuery, Dataflow, Vertex AI, etc.) is a big plus. Experience with other cloud platforms (AWS/Azure) and hybrid cloud More ❯

methods. • Knowledge of web application architecture and system administration. • Experienced building complex custom RQL, KQL or SQL queries. • Experienced with Microsoft Azure, AWS or GCP installation, configuration, and administration of security features and services. • Programming experience with Python or PowerShell Agile/Flexible Working At KPMG International, we are supportive More ❯

should be comfortable leading technical discussions) Proven experience in a SaaS or product-driven environment (B2B a plus) Solid understanding of cloud infrastructure (AWS, GCP), CI/CD workflows, and agile development Interest or experience in AI/ML technologies is a plus Excellent communication skills and a team-first More ❯

Candidate: Constructing Windows and Linux infrastructure components for greenfield system builds and/or application upgrades. Knowledge of Cloud Virtualisaiton technologies (e.g. AWS, Azure, GCP etc). Excellent problem-solving skills and comfortable taking on new challenges. Demonstrable experiencing of working with Enterprise Systems, Platforms and Networks within both a More ❯

Tableau) and large datasets. Comfortable navigating CRM data structures (e.g. Salesforce). Knowledge of machine learning techniques and cloud-based data engineering (AWS/GCP/Azure) is a bonus. Strong communication skills and ability to coordinate across technical and non-technical teams. Why Join? Solve meaningful data problems in More ❯

Stock Mgt Platforms) Strong understanding of a Modular & microservices architecture, APIs, and modern commerce technologies Hands-on experience in cloud platforms (e.g., AWS, Azure, GCP) Experience in managing relationships with third-party vendors, partners, and integrators, including contract negotiations and performance management. Experience leading cross-functional teams in high-demand More ❯

Familiarity with Azure DevOps, CI/CD pipelines, or infrastructure-as-code (e.g., Terraform) Experience with ITIL practices and hybrid cloud environments (AWS/GCP More ❯